Project AURIONAI Use-Cases Research & Innovation
NVIDIA
speech synthesis

BigVGAN

Universal neural vocoder for high-fidelity audio across many speakers and recording conditions.

NVIDIANVIDIAUSA
Diagram of the BigVGAN generator with anti-aliased periodic activation modules.
Levelmodel
Classspeech synthesis
Parametersnot in the notes
Contextnot in the notes
Released9 Jun 2022
Opennessopen weights permissive
Runs onnot in the notes
Statusactive

R&D Topics

Neural vocodersexemplar

Identity

Developer
NVIDIA
Family
not in the notes
Released
9 Jun 2022 sourcesannouncement page
Weights published
15 Jul 2024
Record checked
12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.

Architecture and Size

Architecture
other universal GAN vocoder
Total parameters
– sources
Active parameters
–
Checkpoint parameters
–
Note
BigVGAN v2 checkpoints (July 2024) cover 22, 24 and 44 kHz.
Context length
not in the notes
Input
audio
Output
audio
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).

Openness and Access

Openness
open weights permissive
Licence
MIT License sources
Access routes
open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.

Deployment

Runs on
not in the notes
Footprint
not in the notes
Runtimes
not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.

Indonesia

Indonesian support
not stated
Regional languages
not in the notes
Jakarta hosting
unknown
Languages
not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.

Benchmark Results

The notes record no benchmark result for this model.

Lineage

The notes record no lineage for this model.

Industry Use Cases

No industry use case links this model.

Sources

  1. arxiv.org/abs/2206.04658 https://arxiv.org/abs/2206.04658
  2. github.com/NVIDIA/BigVGAN https://github.com/NVIDIA/BigVGAN
  3. huggingface.co/nvidia/bigvgan_v2_44khz_128band_512x https://huggingface.co/nvidia/bigvgan_v2_44khz_128band_512x

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "BigVGAN", https://aurion.semai.id/models/nvidia-bigvgan/, records of October 2026.